SITE CLASSIFICATION AND SEISMIC RESPONSE OF DHAKA CITY SOILS

Similar documents
Ground Motion Studies for Critical Sites in North-West Bangladesh

New Design Spectral Acceleration of Soft and Deep Deposits in Bangkok

GROUND RESPONSE ANALYSIS FOR SEISMIC DESIGN IN FRASER RIVER DELTA, BRITISH COLUMBIA

EARTHQUAKE-INDUCED SETTLEMENTS IN SATURATED SANDY SOILS

DEVELOPMENT OF EMPIRICAL CORRELATION BETWEEN SHEAR WAVE VELOCITY AND STANDARD PENETRATION RESISTANCE IN SOILS OF CHENNAI CITY

Role of hysteretic damping in the earthquake response of ground

Seismic site response analysis in Perth Metropolitan area

SIMPLIFIED METHOD IN EVALUATING LIQUEFACTION OCCURRENCE AGAINST HUGE OCEAN TRENCH EARTHQUAKE

PACIFIC EARTHQUAKE ENGINEERING RESEARCH CENTER

A study on nonlinear dynamic properties of soils

QUAKE/W ProShake Comparison

Estimation of Shear Wave Velocity Using Correlations

SITE EFFECTS AND ARMENIAN SEISMIC CODE

SEISMIC HAZARD ANALYSIS. Instructional Material Complementing FEMA 451, Design Examples Seismic Hazard Analysis 5a - 1

Micro Seismic Hazard Analysis

Site Effects on Amplification of Earthquke in Southwest of Tehran

Liquefaction Assessment using Site-Specific CSR

CHAPTER 3 METHODOLOGY

A THEORETICAL MODEL FOR SITE COEFFICIENTS IN BUILDING CODE PROVISIONS

Comparison of different methods for evaluating the liquefaction potential of sandy soils in Bandar Abbas

Earthquake record from down-hole array observation in Tokyo bay area during the 2011 off the pacific coast of Tohoku earthquake

Amplification of Seismic Motion at Deep Soil Sites

A GEOTECHNICAL SEISMIC SITE RESPONSE EVALUATION PROCEDURE

Preliminary Evaluation of Surface Soil Response applying the H/V Spectral Ratio Technique to Microtremor Data within Dhaka City, Bangladesh

PROBABILITY-BASED DESIGN EARTHQUAKE LOAD CONSIDERING ACTIVE FAULT

SITE ANALYSIS USING RANDOM VIBRATION THEORY

Comparison between predicted liquefaction induced settlement and ground damage observed from the Canterbury earthquake sequence

Seismic Analysis of Soil-pile Interaction under Various Soil Conditions

EVALUATION OF SEISMIC SITE EFFECTS FOR BANGKOK DEEP BASIN

Study of the liquefaction phenomenon due to an earthquake: case study of Urayasu city

Investigation of long period amplifications in the Greater Bangkok basin by microtremor observations

RESPONSE SPECTRUM METHOD FOR EVALUATING NONLINEAR AMPLIFICATION OF SURFACE STRATA

PROBABILISTIC LIQUEFACTION HAZARD ANALYSIS IN JAPAN

Guidelines for Site-Specific Seismic Hazard Reports for Essential and Hazardous Facilities and Major and Special-Occupancy Structures in Oregon

Improvements to the Development of Acceleration Design Response Spectra. Nicholas E. Harman, M.S., P.E., SCDOT

A Visco-Elastic Model with Loading History Dependent Modulus and Damping for Seismic Response Analyses of Soils. Zhiliang Wang 1 and Fenggang Ma 2.

Modelling of Site Specific Response Spectrum for Buildings in Makassar

Y. Shioi 1, Y. Hashizume 2 and H. Fukada 3

MICROZONATION MAPS FOR KUALA LUMPUR AND PUTRAJAYA

Part 2 - Engineering Characterization of Earthquakes and Seismic Hazard. Earthquake Environment

NORTH OF TEHRAN SITE EFFECT MICROZONATION

Seismic Site Effects of Soil Amplifications in Bangkok

PROPOSED CHANGE TO THE 2012 BUILDING CODE O. REG. 332/12 AS AMENDED

Seismic Response of Sedimentary Basin Subjected to Obliquely Incident SH Waves

RELATIONSHIP BETWEEN AGE OF GROUND AND LIQUEFACTION OCCURRENCE IN THE 2011 GREAT EAST JAPAN EARTHQUAKE

LESSON LEARNED FROM THE EFFECT OF RECENT FAR FIELD SUMATRA EARTHQUAKES TO PENINSULAR MALAYSIA

ONE DIMENSIONAL GROUND RESPONSE ANALYSIS OF COASTAL SOIL NEAR NALIYA, KUTCH, GUJARAT

Evaluating the Seismic Coefficient for Slope Stability Analyses

Soil Behaviour in Earthquake Geotechnics

CORRELATION OF GEOPHYSICAL AND GEOTECHNICAL INVESTIGATIONS FOR SEISMIC HAZARD ASSESSMENT IN DHAKA CITY, BANGLADESH

STATISTICAL CHARACTERISTICS OF LONG PERIOD RESPONSE SPECTRA OF EARTHQUAKE GROUND MOTION

Gutenberg-Richter recurrence law to seismicity analysis of Bangladesh

Dynamic Analysis Using Response Spectrum Seismic Loading

Centrifuge Evaluation of the Impact of Partial Saturation on the Amplification of Peak Ground Acceleration in Soil Layers

Case Study - Undisturbed Sampling, Cyclic Testing and Numerical Modelling of a Low Plasticity Silt

Liquefaction and Foundations

Impact : Changes to Existing Topography (Less than Significant)

Important Concepts. Earthquake hazards can be categorized as:

STUDY ON THE BI-NORMALIZED EARTHQUAKE ACCELERATION RESPONSE SPECTRA

FREQUENCY DEPENDENT EQUIVALENT-LINEARIZED TECHNIQUE FOR FEM RESPONSE ANALYSIS OF GROUND

Residual Deformation Analyses to Demonstrate the Effect of Thin Steel Sheet Piles on Liquefaction-Induced Penetration Settlement of Wooden Houses

Analytical and Numerical Investigations on the Vertical Seismic Site Response

Harmonized European standards for construction in Egypt

EFFECTIVE STRESS ANALYSES OF TWO SITES WITH DIFFERENT EXTENT OF LIQUEFACTION DURING EAST JAPAN EARTHQUAKE

SHAKE TABLE STUDY OF SOIL STRUCTURE INTERACTION EFFECTS ON SEISMIC RESPONSE OF SINGLE AND ADJACENT BUILDINGS

3D Seismic Hazard and Risk Maps for Earthquake Awareness of Citizens with Aids of GIS and Remote Sensing Technologies

DYNAMIC ANALYSIS OF PILES IN SAND BASED ON SOIL-PILE INTERACTION

Study on the Effect of Loess Sites on Seismic Ground Motion and Its Application in Seismic Design

Dynamic Soil Structure Interaction

Impacts of 2014 Chiangrai Earthquake from Geotechnical Perspectives

Seismic Evaluation of Tailing Storage Facility

Earthquakes.

REPORT ON THE TOHOKU AREA PASIFIC OFFSHORE EARTHQUAKE

Geotechnical Earthquake Engineering

Geotechnical Aspects of the Seismic Update to the ODOT Bridge Design Manual. Stuart Edwards, P.E Geotechnical Consultant Workshop

EFFECTS OF GROUND WATER ON SEISMIC RESPONSES OF BASIN

Evaluation of Pore Water Pressure Characteristics in Embankment Model.

EMPIRICAL EVIDENCE FROM THE NORTHRIDGE EARTHQUAKE FOR SITE- SPECIFIC AMPLIFICATION FACTORS USED IN US BUILDING CODES

CHARACTERISTICS OF STRONG GROUND MOTION FROM THE 2011 GIGANTIC TOHOKU, JAPAN EARTHQUAKE

Word Cards. 2 map. 1 geographic representation. a description or portrayal of the Earth or parts of the Earth. a visual representation of an area

Evaluation of the Seismic Load Level in Korea based on Global Earthquake Records

PREDICTION OF AVERAGE SHEAR-WAVE VELOCITY FOR GROUND SHAKING MAPPING USING THE DIGITAL NATIONAL LAND INFORMATION OF JAPAN

Safety analyses of Srinagarind dam induced by earthquakes using dynamic response analysis method.

MULTI-DIMENSIONAL VS-PROFILING WITH MICROTREMOR H/V AND ARRAY TECHNIQUES

ON SEISMIC MOTION NEAR ACTIVE FAULTS BASED ON SEISMIC RECORDS

COMBINED DETERMINISTIC-STOCHASTIC ANALYSIS OF LOCAL SITE RESPONSE

Dynamic Soil Pressures on Embedded Retaining Walls: Predictive Capacity Under Varying Loading Frequencies

A NEW SIMPLIFIED CRITERION FOR THE ASSESSMENT OF FIELD LIQUEFACTION POTENTIAL BASED ON DISSIPATED KINETIC ENERGY

Earthquakes and Earth s Interior

Probabilistic Seismic Hazard Maps in Dam Foundation

Dynamic modelling in slopes using finite difference program

SITE RESPONSE ANALYSIS FOR SEISMIC DESIGN OF A 48-STOREY TOWER BUILDING IN JAKARTA

Chapter 6: Determination of Seismologic Parameters for Proposed Liquefaction Evaluation Procedure

Earthquake response analysis of rock-fall models by discontinuous deformation analysis

2C09 Design for seismic and climate changes

Deterministic Seismic Hazard Assessment of Quetta, Pakistan

SITE EFFECTS ON SEISMICITY IN KUWAIT

Soil Properties - II

Liquefaction Potential Post-Earthquake in Yogyakarta

Development of U. S. National Seismic Hazard Maps and Implementation in the International Building Code

Transcription:

th International Conference on Earthquake Geotechnical Engineering June 5-8, 7 Paper No. 157 SITE CLASSIFICATION AND SEISMIC RESPONSE OF DHAKA CITY SOILS Tahmeed M. AL-HUSSAINI 1, Mohammad K. TALUKDER, Shantanu CHOWDHURY 3, Debanand SAHA 3 and Moshraful B. CHOWDHURY 3 ABSTRACT Dhaka, one of the fastest growing megacities of the world, is located in a seismic zone with an equivalent peak ground acceleration value of.15g. One of the major concerns during an earthquake in Dhaka is the presence of soft soils which may result in amplification of ground motion. Many low lying lands in the city area have been filled up for urban construction to meet the population growth, which have not been properly compacted. Soil boring data including Standard Penetration Test (SPT) values from 3 sites around Dhaka have been collected to estimate equivalent dynamic properties of the top 3 m soil. These sites can be classified into three groups S, S3 and S as per the 1993 Bangladesh national building code. This code, based on UBC 199, recognizes site amplification effects and specifies design response spectrum with maximum spectral acceleration ratio of.5 for soil types S1, S and S3. Soil type S needs site-specific analysis. Seismic site response of the top 3 m soil at eighteen selected sites of the city belonging to S, S3 and S class is computed using the computer program SHAKE. Seven different earthquake records scaled and suited to soil type S have been used. Results obtained suggest that the maximum spectral acceleration ratio of the response spectrum should be around.75 for soil type S and around 3.75 for soil type S3. The current building code is thus on the unsafe side. The results presented thus indicate the necessity of revising the existing national code. Keywords: seismic site response, site classification, response spectrum, code provisions, Dhaka city INTRODUCTION Bangladesh faces significant earthquake risk due to its close proximity to the plate margins of Indian and Eurasian plates. The collision of the northward moving Indian plate with the Eurasian plate is the cause of frequent earthquakes in the region comprising North-East India, Bangladesh, Nepal and Myanmar. Historically Bangladesh has been affected by five earthquakes of large magnitude greater than 7. (Richter scale) during the 61 year period from 1869 to 193 (Ali and Choudhury, 199; Sabri, 1). Two of them had their epicenters within Bangladesh. The 8.7 magnitude Great Indian earthquake in 1897 had an epicentral distance of only 3 km from Dhaka. That earthquake caused extensive damages to masonry buildings in many parts of Bangladesh including Dhaka. According to Bolt (1987), there are four tectonic source zones capable of producing major earthquakes in the future. Assam fault zone (to the north) and Tripura fault zone (to the east) can produce magnitude 8. and 7. earthquakes respectively, while Sub-Dauki fault zone (in the north-east) and Bogra fault zone (in the west) can produce magnitude 7.3 and 7. earthquakes respectively. Dhaka, located in the central region of Bangladesh, could be affected by any of these sources. It should be noted that a large earthquake in the region has not occurred since 193.The present generation of people in Bangladesh 1 Associate Professor, Department of Civil Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh, Email: htahmeed@yahoo.com Former Graduate Research Assistant, Department of Civil Engineering, BUET, Dhaka. 3 Former Undergraduate Student, Department of Civil Engineering, BUET, Dhaka.

hasn t witnessed any major earthquake. As a result the population has been generally complacent about the risk of earthquakes. In recent years, this has changed to some extent by the occurrence and damage caused by earthquakes (Magnitude between and 6) particularly in the south-eastern region of the country (Al-Hussaini, 5). The damage has been mainly restricted to rural areas or towns near the epicentre, but there has been some instances of damage in urban areas 5 to 1 km away. The people of the capital were shaken and frightened by the Dec.19, 1 jolt, a minor earthquake (M=+) with epicentre very close to the city. The location of a probable source so near the Dhaka city is another point of great concern, which needs to be investigated. To accommodate the rapid population growth of Dhaka city, construction of buildings has taken place in an unregulated manner, many of them without earthquake resistant features. The consequences of a major earthquake event can be catastrophic if a densely populated urban area like Dhaka is affected. This would be due to lack of awareness about earthquakes, construction lacking earthquake resistant design, poor quality of construction and absence of post-earthquake preparedness planning. Moreover, exorbitant land prices and lack of available land has led to the filling up of many low lying lands (which used to act as water bodies) in the city area for urban construction. The filled soils in many cases have not been properly compacted or consolidated. Furthermore, the low lying lands may also possess soft soils. These soft soil sites may cause amplification and modification of ground motion, producing larger seismic forces in buildings. Other soft soil effects include settlement of unconsolidated soils and liquefaction of loose sandy deposits. This paper deals with the site amplification effect of various localities within Dhaka city. CODE PROVISIONS FOR DESIGN RESPONSE SPECTRA IN BANGLADESH Various seismic hazard assessment studies (Hattori, 1979; Sharfuddin, 1), based on earthquake catalogues, as well as the local building code have placed Dhaka in a seismic zone with an equivalent peak ground acceleration value of.15g, where g is the acceleration due to gravity. The 1993 Bangladesh National Building Code (BNBC) presents earthquake resistant design provisions (DDC, 1993) which is largely based on UBC 199 seismic design provisions. The code provides a seismic zoning map which divides the country into three seismic zones. Dhaka falls in Zone II with a seismic zone coefficient Z=.15. This may be considered equivalent to a design earthquake intensity of around VIII (Modified Mercalli Intensity Scale). Site amplification effects can lead to greater damage (i.e., higher intensities) at soft soil sites. The code recognizes site amplification effects and classifies soil into categories S1, S, S3 and S, as shown in Table 1. The soil factor used in calculating seismic shear forces on a building by the equivalent static load method is given in Table 1. Design response spectrum for dynamic analysis of buildings is given in the code for three soil types S1, S and S3 (Fig.1), the effect of softer soils on longer period buildings is evident. No response spectrum is given for soil type S, which needs site-specific analysis. Table 1. Site classification as per BNBC-1993 SITE CLASSIFICATIO SOIL CHARACTERISTICS SOIL FACTOR S1 Rock-like material with shear wave velocity > 76 m/sec, or Stiff or dense soil where soil depth<61 m 1. S Soil profile with dense or stiff soil where soil depth > 61 m. 1. S3 Soil profile 1 m. or more in depth and containing more than 6 m. of soft to medium stiff clay but not more than 1 m. of soft clay. 1.5 S Soil profile containing more than 1 m. of soft clay characterized by shear wave velocity < 15 m/sec. Ansary et al () proposed new design response spectra curves (Fig.) based on simulated earthquakes for soil types I (T<. sec), II (. T<. sec), III (. T<.6 sec), IV (T.6 sec) where T is the predominant period of a site. These curves are based on response spectra of simulated earthquake records calculated using a predominant frequency relevant for different soil types. They

used the SHAKE program (Schnabel et al., 197) to determine predominant frequencies for some Dhaka soil profiles from plots of amplification versus frequency (harmonic wave propagation). They did not consider the effect of random earthquake wave propagation through soil layers. The present study was undertaken to include this aspect, considering wave propagation of random earthquake waves through the soil layers using the program SHAKE. Figure 1. BNBC-1993 specified normalized design response spectra for soil types S1, S, S3. Figure : Proposed design response spectra based on simulated earthquakes for different soil types (after Ansary et al., ). SITE CHARACTERIZATION IN DHAKA CITY Borelog data is collected for 83 boreholes from 3 sites in Dhaka city from two leading geotechnical investigation firms. In the absence of test data on dynamic soil properties and such test facilities, soil boring data with Standard Penetration Test (SPT) values have been used to obtain equivalent dynamic properties of the soil using empirical relationships. Empirical relations have been used to determine the shear wave velocity V s at different depths of the soil profiles. The dynamic shear modulus G max (in kpa) is obtained from SPT (N) values using Eq.(1) given by Ohsaki and Iwasaki (1973). Eq.(1) is valid for both sand and clay soils. The shear wave velocity is computed using G max and density ρ. G = 1 N max *.8 (1) Other empirical equations (a,b) are also used to estimate V s. For sand, For clay, V s = 8* N V s = 1* N 1/ 3 1/ 3 (a) (b) Shear wave velocities obtained by both equations (1) and () are considered. The equivalent shear wave velocity V s(eq) for the top 3 m soil is estimated for all boreholes using IBC code (ICA, ) provisions. V s(eq) ranges from 163 m/sec to 8 m/sec for the boreholes studied. These sites have been classified as soil types S, S3, S based on BNBC code provisions. The sites are mostly S and S3 type. Fig 3 shows a map of Dhaka City with approximate location of the sites. It is observed that softer sites S3 are more common in the eastern and south-western portions of the city. Two S sites are identified in the eastern part at Goran and Rampura. The

existence of long stretch of water bodies in the eastern or south-western parts of the city indicate that these soft sites are likely to be land reclaimed from such water bodies. It is therefore expected that there will be several S sites in these areas. Figure 3. Map of Dhaka city showing approximate location of sites and soil types. Table. Selected locations of Dhaka city for site response analysis SOIL TYPE NO. OF SITES LOCATION S 6 Ashkona, Tikatuli, Badda, Nikunja, Lalbagh, Basabo Central. S3 1 West Rampura, Uttara, Sabujbagh, Goran, BHS, Keller Morh, Rampura(Banosree), Niketon, Basundhara, Eskaton. S Rampura, Goran. A total of 18 sites are selected to perform the wave propagation analysis using SHAKE program. Table lists the sites according to soil type. SITE RESPONSE ANALYSIS FOR DHAKA CITY SOILS One dimensional wave propagation analysis is performed using an advanced version SHAKE91

(Idriss and Sun, 199) of the original computer program SHAKE (Schnabel et al., 197) for studying local soil effects on the resulting ground motion. SHAKE91 computes the response in a system of homogeneous, visco-elastic layers of infinite horizontal extent subjected to vertically propagating shear waves. Each layer is completely defined by its value of shear modulus, damping ratio, density and thickness The program is based on the continuous solution to the wave equation adapted for use with transient motions through the Fast Fourier Transform algorithm. The nonlinearity of the shear modulus and damping of soils is accounted for by the use of equivalent linear soil properties (Seed and Idriss, 197; Sun et al., 1988) using an iterative procedure to obtain values for modulus and damping compatible with the effective shear strains in each layer. Table 3 Characteristics of Earthquake Records used. DATE EARTHQUAKE EARTHQUAKE RECORD MAGNITUDE (RICHTER SCALE) PEAK GROUND ACCELERATIO N JULY 1, 195 KERN COUNTY TAFT EW 7.7.18 MAY 18, 19 IMPERIAL VALLEY ELCENT NS 6.7.35 OCT. 17, 1989 LOMA PRIETA LOMA PRIETA 7.1. MAY 16, 1968 HACHINE HACHINE 7.9.3 OKAYAMA OKAYAMA NS 6.8.8 APRIL 3, 196 NORTHERN MIYAGI SND51 6.5.5 JAN.17, 199 NORTHRIDGE SYLMARFF 6.7.6 Available earthquake records (Table 3) suited to the existing soil conditions are selected for use in the study. As mentioned earlier, the soil types in Dhaka city belongs to soil classification S, S3 and S. The soil type S is therefore considered as the basis for the input motion. Seven earthquake records are selected that correspond quite well (Fig.) with the design response spectra for S given in BNBC- 1993 code. Spectral Acceleration/gZ Taft EW Elcent NS Lomaprieta NS Hachine Okayama SND 51 Sylmarff Soil type: S Figure. Normalised Response Spectra of Seven Earthquakes The analysis was performed using these seven earthquake records with their magnitude scaled up or down to a peak acceleration (PGA) value of.15g. For each of 18 selected sites, all seven records were used for wave propagation analysis using SHAKE91.

RESULTS OF ANALYSIS The spectral acceleration (Sa) values obtained for different sites for 5% damping ratio are normalized with respect to the PGA (gz) value and then compared with the design response spectra curves given in local building code (BNBC). Spectral Acceleration/gZ Ashkona Basabo (central) Lalbagh Badda Nikunja Tikatuli Soil S, BNBC Spectral Acceleration/gZ 6 Ashkona Basabo (central) Lalbagh Badda Nikunja Tikatuli Soil S, BNBC Figure 5. Mean response of six S sites for selected earthquakes Figure 6. Mean plus standard deviation of response of six S sites for selected earthquakes Figs.5 and 6 present comparison of numerical results for S type sites with the BNBC design response spectrum. For each site, seven response curves are obtained for seven earthquake records (Table 3) scaled to a peak value of.15g. The mean response spectrum for each site has been computed by taking the mean of such curves for different earthquakes. The mean curves have been presented for all six sites along with the code specified curve in Fig.5. The (normalized) spectral acceleration values of the mean curves, in general, exceed the corresponding values of the BNBC curve in the period range of.1 to. sec. This suggests that it might be better to have Sa/gZ value of around.75 instead of.5 for the initial flat portion of the early period range up to about. sec. The long period portion (sloping down portion) of all the curves fall within the code specified curve. The difference between mean curves and the code in the (sloping down) longer period portion is quite significant and could lead to significant under-prediction of seismic forces in buildings with period greater than. secs. Realizing this significance, the mean plus standard deviation for the six sites has also been considered and compared with code in Fig.6. These curves have been obtained by taking the mean plus standard deviation of the responses obtained for the same earthquakes. Fig.6 shows that the sloping down portion of code agrees very well with the mean plus standard deviation. This suggests that the sloping down portion of the code curve is alright but the peak spectral acceleration value may be increased to.75 in the early period range up to about.6 secs.

Spectral Acceleration/gZ 8 6 BHS Goran Keller Morh Rampura(Banasree) Sabujbagh Uttara West Rampura Basundhara Niketon Eskaton Soil S3, BNBC Spectral Acceleration/gZ 1 8 6 BHS Goran Keller Morh Rampura(Banasree) Sabujbagh Uttara West Rampura Niketon Basundhara Eskaton Soil S3, BNBC Figure 7. Mean response of ten S3 sites for selected earthquakes Figure 8. Mean plus standard deviation of response of ten S3 sites for selected earthquakes Fig.7 presents comparison of numerical results with the BNBC design response spectrum for S3 type soils. The average response spectrum, computed by taking the mean of such curves for different earthquakes, has been presented for each of the 1 sites along with the code specified curve. The (normalized) spectral acceleration values of the mean curves, in general, significantly exceed the corresponding values of the BNBC curve in the period range of.1 to.6 sec. These curves suggest a Sa/gZ value of around 3.5 to. instead of.5 for the early period range from. to about.6 sec. The long period portion of all the curves are below the code specified curve. With the same reasoning discussed earlier, the mean plus standard deviation for the ten sites has also been considered and compared with BNBC curve in Fig.8. Fig.8 shows that the sloping down portion of BNBC curve agrees with the mean plus standard deviation. It may, therefore, be concluded that the sloping down portion of the code curve is alright but the peak spectral acceleration value may be increased to a value around 3.5 to. in the early period range up to.6 secs. Increase in peak Sa/gZ values (comparing Figs. 5 and 7) for softer soils for moderate ground shaking (PGA value of.15g) appears to be in general agreement with some calculations done using recent IBC code (ICA, ) provisions. Only two sites at Rampura and Goran were studied which belonged to the S type soil based on the criteria of having more than 1 m of soft soils. The mean curves and the mean plus standard deviation curves have been presented for the two S sites in Figs.9 and 1 respectively. Comparison is done with the code specified curve for S3 type soil, as there is no curve specified for S soil. Comparing these results with Figs. 7 and 8, the numerical results for the two S type sites appear to be of the same order as S3 type soils. This is possibly due to the fact that although these two sites belong to S class, their property is not very different from S3 soils. Further investigations are needed for study of S type soils with deeper soft soil deposits.

Spectral Acceleration/gz 5 3 1 Rampura Goran Soil Type S3, BNBC Spectral Acceleration/gz 7 6 5 3 1 Rampura Goran Soil Type S3, BNBC Period (sec) Period (sec) Figure 9. Mean response of two S sites for selected earthquakes Figure 1. Mean plus standard deviation of response of two S sites for selected earthquakes CONCLUSIONS A numerical study has been performed to assess the local soil effects on ground motion in Dhaka city which has a design peak ground acceleration of.15g. Soil boring data with SPT values have been used to estimate equivalent dynamic properties of different sites using empirical correlations. The estimated equivalent shear wave velocity for top 3 m soil varying from 163 to 8 m/sec gives an impression of the soil types in the city. Soils of the city belong to three classes S, S3 and S specified in the 1993 Bangladesh national building code. Response spectra are developed for different soil profiles at eighteen different locations of Dhaka city using one-dimensional wave propagation analysis for several design basis earthquakes and estimated soil properties. The results, presented in a statistical sense, are compared with the design response spectra for soil types S and S3 given in the national building code. It is observed that the peak spectral acceleration values are underestimated by the existing code, the difference is very significant for soil type S3. Sites with S type soils showed similar trend as S3 type soils, in fact there is little difference between the two types of soils studied. S sites with deeper soft soil deposits are expected to show different response. Results suggest that the peak spectral acceleration of the code specified curves for S and S3 type soils need to be increased, particularly for S3 soils, while the longer period portion needs no change. These results need to be validated when direct measurement of dynamic soil properties will be available, nevertheless the results clearly indicate the need for revision of the local building code for application in Dhaka city located in a moderately seismic zone. ACKNOWLEDGEMENTS The authors are grateful to M Ahmed & Associates and Unique Boring Ltd. for providing soil data used in this study. Earthquake records were provided by Technical Research Institute, Fujita Corporation, Yokohama, Japan. Partial support for the work reported was obtained from a research grant from Bangladesh University of Engineering and Technology.

REFERENCES Al-Hussaini, T.M., 5. Facing the earthquake and tsunami risk in Bangladesh Proc., Seminar on Tsunami and Seismic Risk Action for Bangladesh, organized by Military Institute of Science and Technology, Dhaka, 31-3. Ali, M.H. and Choudhury, J.R., 199. Seismic zoning of Bangladesh, paper presented at International Seminar on Recent Developments in Earthquake Disaster Mitigation, Dhaka, organized by Institution of Engineers, Bangladesh and World Seismic Safety Initiative (WSSI). Ansary, M.A., Noor, M.A. and Seraj, S.M.,. Response spectra based on simulated earthquakes: its application and assessment, Journal of Civil Engineering, Institution of Engineers Bangladesh, 8(1), 1-. Bolt, B.A., 1987. Site specific study of seismic intensity and ground motion parameters for proposed Jamuna river bridge, Bangladesh, Report prepared for Jamuna Bridge Project, Bangladesh. DDC, 1993. Bangladesh National Building Code 1993, published by Development Design Consultants for Housing and Building Research Institute, Dhaka, Bangladesh. Hattori, S. (1979) Seismic risk maps in the world (maximum acceleration and maximum particle velocity) (II) Balkan, Middle East, Southeast Asia, Central America, South America and Others Bulletin of the International Institute of Seismology and Earthquake Engineering, Building Research Institute, Ministry of Construction, Tokyo, 17, 33-96. ICA () International Building Code, published by International Code Council, USA. Idriss, I.M. and Sun, J.I. (199) Users manual for SHAKE91 Center for Geotechnical Modelling, University of California at Davis. Ohsaki, Y. and Iwasaki, R. (1973) On dynamic shear modulus and poisson s ratio of soil deposits Soils and Foundations, 13(). Schnabel, P.B., Lysmer, J. and Seed, H.B. (197) SHAKE-A computer program for earthquake response analysis of horizontally layered sites Report No. UCB/EERC 7-1, Earthquake Engineering Research Center, University of California at Berkeley. Seed, H.B. and Idriss, I.M. (197) Soil moduli and damping factors for dynamic response analysis Report No. UCB/EERC 7-1, Earthquake Engineering Research Center, University of California at Berkeley. Sharfuddin. M. (1) Earthquake hazard analysis for Bangladesh, M.Sc.Engg. Thesis, Department of Civil Engineering, BUET, Dhaka. Sun, J.I., Golesorkhi, R. and Seed, H.B. (1988) Dynamic moduli and damping ratios for cohesive soils Report No. UCB/EERC 88-15, Earthquake Engineering Research Center, University of California at Berkeley.